Package: pcaL1 1.5.7

pcaL1: L1-Norm PCA Methods

Implementations of several methods for principal component analysis using the L1 norm. The package depends on COIN-OR Clp version >= 1.17.4. The methods implemented are PCA-L1 (Kwak 2008) <doi:10.1109/TPAMI.2008.114>, L1-PCA (Ke and Kanade 2003, 2005) <doi:10.1109/CVPR.2005.309>, L1-PCA* (Brooks, Dula, and Boone 2013) <doi:10.1016/j.csda.2012.11.007>, L1-PCAhp (Visentin, Prestwich and Armagan 2016) <doi:10.1007/978-3-319-46227-1_37>, wPCA (Park and Klabjan 2016) <doi:10.1109/ICDM.2016.0054>, awPCA (Park and Klabjan 2016) <doi:10.1109/ICDM.2016.0054>, PCA-Lp (Kwak 2014) <doi:10.1109/TCYB.2013.2262936>, and SharpEl1-PCA (Brooks and Dula, submitted).

Authors:Sapan Jot <[email protected]>, Paul Brooks <[email protected]>, Andrea Visentin <[email protected]>, Young Woong Park <[email protected]>, and Yi-Hui Zhou <[email protected]>

pcaL1_1.5.7.tar.gz
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pcaL1_1.5.7.tgz(r-4.4-x86_64)pcaL1_1.5.7.tgz(r-4.4-arm64)pcaL1_1.5.7.tgz(r-4.3-x86_64)pcaL1_1.5.7.tgz(r-4.3-arm64)
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pcaL1.pdf |pcaL1.html
pcaL1/json (API)
NEWS

# Install 'pcaL1' in R:
install.packages('pcaL1', repos = c('https://jpbrooks.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • clp– Coin-or linear programming solver
  • openblas– Optimized BLAS

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.38 score 24 scripts 868 downloads 13 exports 0 dependencies

Last updated 2 years agofrom:3890257a04. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-win-x86_64OKOct 29 2024
R-4.5-linux-x86_64OKOct 29 2024
R-4.4-win-x86_64OKOct 29 2024
R-4.4-mac-x86_64OKOct 29 2024
R-4.4-mac-aarch64OKOct 29 2024
R-4.3-win-x86_64OKOct 29 2024
R-4.3-mac-x86_64OKOct 29 2024
R-4.3-mac-aarch64OKOct 29 2024

Exports:awl1pcal1pcal1pcahpl1pcastarl1projectionl2projectionpcal1pcalpsharpel1pcasharpel1rssparsel1pcaweightedL1Distancewl1pca

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
pcaL1: L1-Norm PCA MethodspcaL1-package pcaL1
awPCAawl1pca
L1-PCAl1pca
L1-PCAhpl1pcahp
L1-PCA*l1pcastar
L1 Projectionl1projection
L2PCA_approxl2pcaapprox L2PCA_approx
L2 Projectionl2projection
PCA-L1pcal1
PCA-Lppcalp
Plot an awl1pca Objectplot.awl1pca
Plot an L1pca Objectplot.l1pca
Plot an L1PCAhp Objectplot.l1pcahp
Plot an L1pcastar Objectplot.l1pcastar
Plot a Pcal1 Objectplot.pcal1
Plot a Pcalp Objectplot.pcalp
Plot a Sharpel1pca Objectplot.sharpel1pca
Plot a Sharpel1rs Objectplot.sharpel1rs
Plot a Sparsel1pca Objectplot.sparsel1pca
Plot a Wl1pca Objectplot.wl1pca
SharpEl1-PCAsharpel1pca
SharpEl1-RSsharpel1rs
SparsEl1-PCAsparsel1pca
Weighted L1 DistanceweightedL1Distance
wPCAwl1pca